151 Hits in 10.4 sec

Biosignal-Based Human–Machine Interfaces for Assistance and Rehabilitation: A Survey

Daniele Esposito, Jessica Centracchio, Emilio Andreozzi, Gaetano D. Gargiulo, Ganesh R. Naik, Paolo Bifulco
2021 Sensors  
As a definition, Human–Machine Interface (HMI) enables a person to interact with a device.  ...  Most of the studies (about 67%) pertain to the assistive field, while 20% relate to rehabilitation and 13% to assistance and rehabilitation.  ...  [215] , was based on sEMG and near-infrared spectroscopy (NIRS) sensors (light sources at three wavelength: 730, 805, and 850 nm).  ... 
doi:10.3390/s21206863 pmid:34696076 pmcid:PMC8540117 fatcat:me2wtqah3bcdzclrzz7z44ah3u

Sensors and Systems for Physical Rehabilitation and Health Monitoring—A Review

Lucas Medeiros Souza do Nascimento, Lucas Vacilotto Bonfati, Melissa La Banca Freitas, José Jair Alves Mendes Junior, Hugo Valadares Siqueira, Sergio Luiz Stevan
2020 Sensors  
In this scenario, this paper presents a state-of-the-art review of sensors and systems for rehabilitation and health monitoring.  ...  The use of wearable equipment and sensing devices to monitor physical activities, whether for well-being, sports monitoring, or medical rehabilitation, has expanded rapidly due to the evolution of sensing  ...  A device with a near-infrared (NIR) LED (940 nm) near a photodiode is used to measure this signal and to correlate it to the glucose concentration in blood.  ... 
doi:10.3390/s20154063 pmid:32707749 fatcat:cjp7v5trjrd4pcdnmmo42prtx4

A Network-Type Brain Machine Interface to Support Activities of Daily Living

Takayuki SUYAMA
2016 IEICE transactions on communications  
To help elderly and physically disabled people to become self-reliant in daily life such as at home or a health clinic, we have developed a network-type brain machine interface (BMI) system called "network  ...  In this paper, we introduce the technologies for achieving the network BMI system to support activities of daily living. key words: brain machine interface, smart house, data analysis, network agent Takayuki  ...  Acknowledgement This research was supported by a contract with the Ministry of Internal Affairs and Communications entitled, 'Novel and innovative R&D making use of brain structures'.  ... 
doi:10.1587/transcom.2016sni0002 fatcat:ds4rdf4w5fbfvjrhc5eigzutey

Augmenting Sensor Performance with Machine Learning Towards Smart Wearable Sensing Electronic Systems

Songlin Zhang, Lakshmi Suresh, Jiachen Yang, Xueping Zhang, Swee Ching Tan
2022 Advanced Intelligent Systems  
Note for some cases, collecting sensing signals are still assisted with external sources (i.e., special equipment for spectroscopy data acquisition), which makes the wearability of the devices compromised  ...  First, sensors must be sensitive, reliable, durable, and wearable, of which high-quality sensing data is the prerequisite for obtaining excellent performance of WSES.  ...  Figure 6g displays the digital and infrared images with the wearable patch on the skin near the abdomen.  ... 
doi:10.1002/aisy.202100194 fatcat:7ai5exgvsvgb3kro2brldreqpe

A review of the progression and future implications of brain-computer interface therapies for restoration of distal upper extremity motor function after stroke

Alexander Remsik, Brittany Young, Rebecca Vermilyea, Laura Kiekhoefer, Jessica Abrams, Samantha Evander Elmore, Paige Schultz, Veena Nair, Dorothy Edwards, Justin Williams, Vivek Prabhakaran
2016 Expert Review of Medical Devices  
Non-invasive BCIs work by closing the proprioceptive feedback loop with real-time, multi-sensory feedback allowing for volitional modulation of brain signals to assist hand function.  ...  Non-traditional neurorehabilitation techniques, such as those incorporating the brain-computer interface (BCI), are being investigated for rehabilitation.  ...  The combination of BCI therapies with a wearable 'smart glove' orthotic is of particular interest.  ... 
doi:10.1080/17434440.2016.1174572 pmid:27112213 pmcid:PMC5131699 fatcat:zsgm6eygqzbwbh4vktw236jabu

Emerging Natural User Interfaces in Mobile Computing: A Bottoms-Up Survey [article]

Kirill A. Shatilov, Dimitris Chatzopoulos, Lik-Hang Lee, Pan Hui
2019 arXiv   pre-print
Brain-Machine Interfaces that enable thought-only hands-free interaction, Myoelectric input methods that track body gestures and gaze-tracking input interfaces - are the examples of NUIs applicable to  ...  Leveraging of Natural User Interfaces (NUIs), as a paradigm of using natural intuitive actions to interact with computing systems, is one of many ways to meet these challenges in mobile computing and its  ...  Functional Near-infrared Spectroscopy (fNIRS). Quantifies the concentration of specific chemicals in brain tissue using reflected near-infrared light.  ... 
arXiv:1911.04794v2 fatcat:tuho2hdkmffkbhz3ew45t44sq4

Sensors for Context-Aware Smart Healthcare: A Security Perspective

Edgar Batista, M. Angels Moncusi, Pablo López-Aguilar, Antoni Martínez-Ballesté, Agusti Solanas
2021 Sensors  
smart homes and smart cities.  ...  As a result, we provide practitioners with a comprehensive overview of the existing vulnerabilities and solutions in the technical side of smart healthcare.  ...  In addition to EEG, other methods for brain activity monitoring, albeit less frequently integrated in wearable devices due to their complexity, are based on functional near-infrared spectroscopy (fNIRS  ... 
doi:10.3390/s21206886 pmid:34696099 pmcid:PMC8537585 fatcat:n7qzpwyzo5f4rppmtkknkznpz4

See, Hear, or Feel – to Speak: A Versatile Multiple-Choice Functional Near-Infrared Spectroscopy-Brain-Computer Interface Feasible With Visual, Auditory, or Tactile Instructions

Laurien Nagels-Coune, Lars Riecke, Amaia Benitez-Andonegui, Simona Klinkhammer, Rainer Goebel, Peter De Weerd, Michael Lührs, Bettina Sorger
2021 Frontiers in Human Neuroscience  
One BCI technique that has gained attention recently is functional near-infrared spectroscopy (fNIRS).  ...  They may benefit from brain-computer interfaces (BCIs) exploiting brain signals for communication and therewith circumventing the muscular system.  ...  Near-Infrared Spectroscopy-Brain-Computer Interface Feasible With Visual, Auditory, or Tactile Instructions.  ... 
doi:10.3389/fnhum.2021.784522 pmid:34899223 pmcid:PMC8656940 fatcat:xgwupvuqxzcw5h6db22tqgxlk4

2020 Index IEEE Transactions on Biomedical Engineering Vol. 67

2020 IEEE Transactions on Biomedical Engineering  
, Analysis of Miniaturization Effects and Channel Selection Strategies for EEG Sensor Networks With Application to Auditory Attention Detection; TBME Jan. 2020 234-244 Natarajan, K., see Chandrasekhar,  ...  ., A Time-Frequency Approach for Cerebral Embolic Load Monitoring; TBME April 2020 1007-1018 Imaduddin, S.M., Fanelli, A., Vonberg, F.W., Tasker, R.C., and Heldt, T., Pseudo-Bayesian Model-Based Noninvasive  ...  ., +, TBME June 2020 1749-1760 A Dynamic Model of Brain Hemodynamics in Near-Infrared Spectroscopy.  ... 
doi:10.1109/tbme.2020.3048339 fatcat:y7zxxew27fgerapsnrhh54tm7y

E-health-IoT Universe: A Review

Noemi Scarpato, Alessandra Pieroni, Luca Di Nunzio, Francesca Fallucchi
2017 International Journal on Advanced Science, Engineering and Information Technology  
The Internet of Things (IoT) devices are able to collect and share data directly with other devices through the cloud environment, providing a huge amount of information to be gathered, stored and analyzed  ...  for data-analytics processes.  ...  for the smart home, Doctor's Offices: smart system ideated to support doctors in their activities, and Smart Cities: e-health systems for smart cities.  ... 
doi:10.18517/ijaseit.7.6.4467 fatcat:zcp3hcbrkvbcdgziv32njomrci

Optical aspects of a miniature fluorescence microscope for super-sensitive biomedical detection

Yunfeng Nie, Aikio Sanna, Annukka Kokkonen, Teemu Sipola, Uusitalo Sanna, Simonetta Grilli, Heidi Ottevaere
2020 Zenodo  
We present optical design and the principle demonstrator of a miniature fluorescence microscope aiming for super-sensitive detection.  ...  Current commercial fluorescence microscopes are typically sophisticated, bulky and expensive, not suitable for low-volume or clinic routine biomedical detection.  ...  We report on functional near-infrared spectroscopy (fNIRS) as a tool to monitor the effect of transcranial electrical stimulation (tES) on human bimanual motor performance. 3 Pediatrics, Emory Univ.  ... 
doi:10.5281/zenodo.3822435 fatcat:3eoome22a5grbmarbrktphfh7a

Soft, wireless periocular wearable electronics for real-time detection of eye vergence in a virtual reality toward mobile eye therapies

Saswat Mishra, Yun-Soung Kim, Jittrapol Intarasirisawat, Young-Tae Kwon, Yongkuk Lee, Musa Mahmood, Hyo-Ryoung Lim, Robert Herbert, Ki Jun Yu, Chee Siang Ang, Woon-Hong Yeo
2020 Science Advances  
Analytical and computational study of a data classification algorithm provides a highly accurate tool for real-time detection and classification of ocular motions.  ...  In vivo demonstration with 14 human subjects captures the potential of the wearable electronics as a portable therapy system, whose minimized form factor facilitates seamless interplay with traditional  ...  Acknowledgments: We thank the support from the Institute for Electronics and Nanotechnology, a member of the National Nanotechnology Coordinated Infrastructure, which is supported by the NSF (grant ECCS  ... 
doi:10.1126/sciadv.aay1729 pmid:32201718 pmcid:PMC7069716 fatcat:v5fbn5zjcbdafiaemgyu3lhwwy

Augmentative and Alternative Communication (AAC) Advances: A Review of Configurations for Individuals with a Speech Disability

Yasmin Elsahar, Sijung Hu, Kaddour Bouazza-Marouf, David Kerr, Annysa Mansor
2019 Sensors  
, touch-enabled systems, mechanical and electro-mechanical access, breath-activated methods, and brain–computer interfaces (BCI).  ...  This review presents a range of signal sensing and acquisition methods utilized in conjunction with the existing high-tech AAC platforms for individuals with a speech disability, including imaging methods  ...  [63, 64] or near-infrared spectroscopy (NIRS) [63, 64] .  ... 
doi:10.3390/s19081911 fatcat:rqgz3z4ktfcu7chznkvlquwp3q

2019 Index IEEE Transactions on Biomedical Engineering Vol. 66

2019 IEEE Transactions on Biomedical Engineering  
., +, TBME April 2019 1137-1147 An EOG-Based Human-Machine Interface to Control a Smart Home Envi- ronment for Patients With Severe Spinal Cord Injuries.  ...  ., +, TBME March 2019 666-674 Electro-oculography An EOG-Based Human-Machine Interface to Control a Smart Home Envi- ronment for Patients With Severe Spinal Cord Injuries.  ... 
doi:10.1109/tbme.2020.2964087 fatcat:mdfzsmdahnao5ccnuj232hycsm

Sensor Fusion and Smart Sensor in Sports and Biomedical Applications

José Mendes Jr., Mário Vieira, Marcelo Pires, Sergio Stevan Jr.
2016 Sensors  
Although some applications are described in only one of two fields of study (biomedicine and sports), it is very likely that the same application fits in both, with small peculiarities or adaptations.  ...  Finally, in the third level (high), there are manipulation classes, which create a fusion of symbols (characters, recognized information and strategies), and also where decision algorithms for recognition  ...  The first for the scholarships granted to the post-graduate students participating in the study, and the last one for Technological Development Scholarship No. 312104/2015-4.  ... 
doi:10.3390/s16101569 pmid:27669260 pmcid:PMC5087358 fatcat:fankvzg6sffavkx4fcgwthxn2e
« Previous Showing results 1 — 15 out of 151 results